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Mubug: a mobile service for rapid bug tracking
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  • 作者:Yang Feng ; Qin Liu ; Mengyu Dou ; Jia Liu ; Zhenyu Chen
  • 关键词:bug report triage ; bug report assignment ; mobile service ; bug tracking
  • 刊名:SCIENCE CHINA Information Sciences
  • 出版年:2016
  • 出版时间:January 2016
  • 年:2016
  • 卷:59
  • 期:1
  • 页码:1-5
  • 全文大小:323 KB
  • 参考文献:1.Just S, Premraj R, Zimmermann T. Towards the next generation of bug tracking systems. In: Proceedings of IEEE Symposium on Visual Languages and Human-Centric Computing, Herrsching am Ammersee, 2008. 82–85
    2.Zhang W, Nie L, Jiang H, et al. Developer social networks in software engineering: construction, analysis, and application. Sci China Inf Sci, 2014, 57: 121101
    3.Zimmermann T, Premraj R, Sillito J, et al. Improving bug tracking systems. In: 31st International Conference on Software Engineering—Companion Volume, Vancouver, 2009. 247–250
    4.Chen Z, Luo B. Quasi-crowdsourcing testing for educational projects. In: Companion Proceedings of the 36th International Conference on Software Engineering. New York: ACM, 2014. 272–275
    5.Feng Y, Chen Z, Jones J A, et al. Test report prioritization to assist crowdsourced testing. In: Proceedings of the 10th Joint Meeting on Foundations of Software Engineering. New York: ACM, 2015. 225–236
    6.Foo S, Li H. Chinese word segmentation and its effect on information retrieval. Inf Process Manag, 2004, 40: 161–190CrossRef
    7.Kao A, Poteet S R. Natural Language Processing and Text Mining. London: Springer-Verlag, 2007CrossRef MATH
  • 作者单位:Yang Feng (1)
    Qin Liu (1)
    Mengyu Dou (1)
    Jia Liu (1)
    Zhenyu Chen (1)

    1. State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, 210093, China
  • 刊物类别:Computer Science
  • 刊物主题:Chinese Library of Science
    Information Systems and Communication Service
  • 出版者:Science China Press, co-published with Springer
  • ISSN:1869-1919
文摘
With the increasing popularity of mobile applications, a light-weighted bug tracking systems has been widely needed. While the high release frequency of the mobile applications requires a rapid bug tracking system for the software maintenance, the needs for users’ feedback can be easily accessed and manipulated for both common users and developers, which motivates us to develop a mobile service for bug tracking, namely Mubug, by combining the natural language processing technique and machine learning technique. Project managers can easily configure and setup bug tracking service without any installation on Mubug. Reporters can submit bug reports with texts, voices or images using their mobile devices. Bug reports can thus be processed and assigned to developers automatically. In this paper, we present the architecture of Mubug and some implememtation details.

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